ISSN: 0443-511
e-ISSN: 2448-5667
Usuario/a
Idioma
Herramientas del artículo
Envíe este artículo por correo electrónico (Inicie sesión)
Enviar un correo electrónico al autor/a (Inicie sesión)
Tamaño de fuente

Open Journal Systems

Asociación entre síndrome metabólico, nivel socioeconómico y calidad de vida en mexicanos / Association between metabolic syndrome, socioeconomic status and quality of life in mexicans

Sergio Kevin Bustamante-Villagómez, Sarahí Vásquez-Alvarez, Martha Elba Gonzalez-Mejia, Leonardo M. Porchia, Oscar Herrera-Fomperosa, Enrique Torres-Rasgado, Guadalupe Ruiz-Vivanco, Ricardo Pérez Fuentes

Resumen


Resumen

Introducción: en México existe escasa información respecto al vínculo entre el síndrome metabólico (MetS), el nivel socioeconómico (NSE) y la calidad de vida (CdV) de la población.

Objetivo: evaluar la asociación entre sujetos que tienen alto riesgo de desarrollar MetS con NSE y CdV.

Material y métodos: se invitó a participar a pacientes de la UMF-2 del IMSS y del Centro Urbano-SSA Clínica-1. Se recolectaron medidas antropométricas y se aplicaron los cuestionarios AMAI, SF12 y ESF-I para NSE, CdV y MetS, respectivamente. La asociación se determinó calculando rho de Spearman. El riesgo se evaluó mediante regresión logística (razon de momios e intervalo de confianza del 95%).

Resultados: la diferencia entre NSE (193 ± 53 frente a 124 ± 50) y CdV (86.3 ± 14.8 frente a 56.0 ± 25.4) fue significativa entre los grupos de bajo y alto riesgo, respectivamente (p < 0.001). Hubo una fuerte correlación negativa entre las puntuaciones de la ESF-I y NSE (rho = -0.623, p < 0.001) así como con la CdV (rho = -0.719, p < 0.001). El riesgo de MetS aumentó al disminuir el NSE (C+: OR = 6.4, IC95%: 3.2 - 13.0; D: OR = 66.1, IC95%: 23.2 - 188.3), mientras que el aumento de la CdV lo atenuó (OR = 0.93, IC95%: 0.91 - 0.94). Interesantemente, la CdV mitigó el efecto del NSE (C+: OR = 4.5, IC95%: 2.1 - 9.6; D: OR = 11.9, IC95%: 3.8 - 37.6).

Conclusión: Una menor CdV y NSE aumentan el riesgo de MetS en la región centro de México; sin embargo, el aumento en la CdV podría disminuir el efecto que tiene el NSE en el desarrollo de MetS.

 

Abstract

Background: In Mexico there is little information regarding the link between metabolic syndrome (MetS), socioeconomic status (SES) and quality of life (QoL)

Objective: To assess the association between subjects who are at high risk of developing MetS with SES and QoL.

Material and methods: Patients attending UMF-2 IMSS or Centro Urbano-SSA Clínica-1 were asked to participate. Anthropometric measures were collected, the AMAI, SF12, and ESF-I questionnaire where apply for SES, QoL, and MetS, respectively. Association were determined by calculating Spearman’s rho and the risk (odds ratio and 95% confidence-interval) was assessed using logistic regression.

Results: The difference of SES (193 ± 53 vs. 124 ± 50) and QoL (86.3 ± 14.8 vs. 56.0±25.4) questionnaires were significantly between low-risk and high-risk groups, respectively (p < 0.001). There was a negative correlation between ESF-I and SES (rho = -0.623, p < 0.001) as well as the QoL (rho = -0.719, p < 0.001). MetS risk was augmented by decreasing SES (C+: OR = 6.4, 95%IC: 3.2-13.0; D: OR = 66.1, 95%IC: 23.2-188.3), whereas increasing QoL attenuated it (OR = 0.93, 95%CI: 0.91-0.94). However, QoL mitigated the effect of SES (C+: OR = 4.5, 95%IC: 2.1-9.6; D: OR = 11.9, 95%IC: 3.8-37.6).

Conclusion: Lower QoL and SES increased the risk of MetS in Central Mexico; however, improving the QoL can mitigated the effect SES has on developing MetS.

 


Palabras clave


Síndrome Metabólico; Factores Socioeconómicos; Calidad de Vida; México / Metabolic Syndrome; Socioeconomic Factors; Quality of Life; Mexico

Texto completo:

PDF

Referencias


 

Biggs TW, Anderson WG, Pombo OA. Concrete and poverty, vegetation and wealth? A counterexample from remote sensing of socioeconomic indicators on the US– Mexico border. Prof Geogr. 2015;67(2):166-79. doi: 10.1080/ 00330124.2014.905161.

 

Gwynne RN. Industrialization and urbanization in latin america. 1st ed. London, UK: Routledge Taylor & Francis Group; 2018.

 

INEGI. Regiones Socioeconómicas de México 2018. Disponible en: https://sc.inegi.org.mx/niveles/index.jsp.

 

OECD. Panorama económico de México: OECD Economic Surveys: Mexico 2017; 2019. Available from: www.oecd.org/ eco/surveys/economic-survey-mexico.htm.

 

Yusuf S, Joseph P, Rangarajan S, Islam S, Mente A, Hystad P, et al. Modifiable risk factors, cardiovascular disease, and mortality in 155 722 individuals from 21 high-income, middle-income, and low-income countries (PURE): a prospective  cohort study. Lancet. 2020;395(10226):795-808. doi: 10.1016/ S0140-6736(19)32008-2.

 

Wang X, Strizich G, Hua S, Sotres-Alvarez D, Buelna C, Gallo LC, et al. Objectively measured sedentary time and cardiovascular risk factor control in US Hispanics/Latinos with diabetes mellitus: results from the Hispanic community health study/study of Latinos (HCHS/SOL). J Am Heart Assoc. 2017;6(6):e004324. doi: 10.1161/JAHA.116.004324.

 

Morales LS, Lara M, Kington RS, Valdez RO, Escarce JJ. Socioeconomic, cultural, and behavioral factors affecting Hispanic health outcomes. J Health Care Poor Underserved. 2002;13(4):477. doi: 10.1177/104920802237532.

 

Mendenhall E, Kohrt BA, Norris SA, Ndetei D, Prabhakaran D. Non-communicable disease syndemics: poverty, depression, and diabetes among low-income populations. Lancet. 2017; 389(10072):951-63. doi: 10.1016/S0140-6736(17)30402-6.

 

AMAI. Nivel Socio Económico AMAI 2018: Comité de Niveles Socioeconómicos AMAI; 2018. Disponible en: http://www. amai.org/nse/wp-content/uploads/2018/04/Nota-Metodolo% CC%81gico-NSE-2018-v3.pdf.

 

INEGI. Educacion, Escolaridad 2020 [cited 2020 10 January]. Disponible en: http://cuentame.inegi.org.mx/monografias/ informacion/pue/poblacion/educacion.aspx?tema=me&e=21.

 

WHO. Primary health care systems (PRIMASYS): case study from Mexico, 2017 Licence: CC BY-NC-SA 3.0 IGO. Geneva: World Health Organization2017 [cited 2020 21 February]. Disponible en: https://www.who.int/alliance-hpsr/projects/ alliancehpsr_mexico_abridgedprimasys2018.pdf?ua=1.

 

Cohen-Carneiro F, Souza-Santos R, Rebelo MAB. Quality of life related to oral health: contribution from social factors. Ciência & Saúde Coletiva. 2011;16:1007-15. doi: 10.1590/ s1413-81232011000700033.

 

Javed S, Javed S, Khan A. Effect of education on quality of life and well being. Int J Indian Psychol. 2016;3(3):119-28. doi: 10.25215/0304.053.

 

Jabbour G, Mathieu M-E, Beliveau L, Brochu M. Importance of Tangible Physical Changes for Quality of Life Improvements of Type 2 Diabetic and at Risk Individuals Involved in Exercise Intervention: A Quasi-Experimental Design. J Med Liban. 2016;103(4007):1-6. doi: 10.12816/0033792.

 

Sitlinger A, Zafar SY. Health-Related Quality of Life: The Impact on Morbidity and Mortality. Surg Oncol Clin N Am. 2018;27(4): 675-84. doi: 10.1016/j.soc.2018.05.008.

 

Zhang Y-B, Chen C, Pan X-F, Guo J, Li Y, Franco OH, et al. Associations of healthy lifestyle and socioeconomic status with mortality and incident cardiovascular disease: two prospective cohort studies. BMJ. 2021;373. doi: 10.1136/bmj.n604.

 

Gutiérrez-Solis AL, Datta Banik S, Méndez-González RM. Prevalence of metabolic syndrome in Mexico: a systematic review and meta-analysis. Metab Syndr Relat Disord. 2018; 16(8):395-405. doi: 10.1089/met.2017.0157.

 

Rochlani Y, Pothineni NV, Kovelamudi S, Mehta JL. Metabolic syndrome: pathophysiology, management, and modulation by natural compounds. Ther Adv Cardiovasc Dis. 2017;11(8):215- 25. doi: 10.1177/1753944717711379.

 

Dragsbæk K, Neergaard JS, Laursen JM, Hansen HB, Christiansen C, Beck-Nielsen H, et al. Metabolic syndrome and subsequent risk of type 2 diabetes and cardiovascular disease in elderly women: challenging the current definition. Medicine. 2016;95(36):e4806. doi: 10.1155/2014/943162.

 

Shah CH, Brown JD. Reliability and Validity of the Short-Form 12 Item Version 2 (SF-12v2) Health-Related Quality of Life Survey and Disutilities Associated with Relevant Conditions in the U.S. Older Adult Population. J Clin Med. 2020;9(3). doi: 10.3390/jcm9030661.

 

Porchia LM, Lara-Solis B, Torres-Rasgado E, Gonzalez-Mejia M, Ruiz-Vivanco G, Pérez-Fuentes R. Validation of a non-laboratorial questionnaire to identify Metabolic Syndrome among a population in central Mexico. Rev Panam Salud Publica. 2019;43:e9. doi: 10.26633/RPSP.2019.9.

 

Campos Vázquez RM, Monroy-Gómez-Franco LA. La relación entre crecimiento económico y pobreza en México. Invest Económ. 2016;75(298):77-113. doi: 10.1016/j. inveco.2016.11.003.

 

CDC. Health-Related Quality of Life (HRQOL) 2018. Disponible en: https://www.cdc.gov/hrqol/wellbeing.htm.

 

Saboya PP, Bodanese LC, Zimmermann PR, Gustavo AD, Assumpcao CM, Londero F. Metabolic syndrome and quality of life: a systematic review. Rev Lat-Am Enferm. 2016;24: e2848. doi: 10.1590/1518-8345.1573.2848.

 

Pathak R, Agarwalla R, Pathania D. Assessment of metabolic syndrome and health related quality of life in community dwellers: A cross sectional study from North India. Indian J Med Spec. 2018;9(1):15-9. doi: 10.1016/j.injms.2018.01.001.

 

OECD. Education at a Glance 2020: OECD Indicators. OECD Publishing, Paris2020. Disponible en: https://doi.org/ 10.1787/69096873-en.

 

Cho KI, Kim BH, Je HG, Jang JS, Park YH. Gender-Specific Associations between Socioeconomic Status and Psychological Factors and Metabolic Syndrome in the Korean Population: Findings from the 2013 Korean National Health and Nutrition Examination Survey. Biomed Res Int. 2016; 2016:3973197. doi: 10.1155/2016/3973197.

 

Matute I, Burgos S, Alfaro T. Socioeconomic status and perceived health-related quality of life in Chile. MEDICC Review. 2017;19:51-6.

 

Uppala S, Thangellapally SS, Vatipelli M. A prospective observational study on health related quality of life and socioeconomic status among chronic disease patients. Int J Curr Res. 2017;9(5):51312-5. 

 

Pechey R, Monsivais P. Socioeconomic inequalities in the healthiness of food choices: Exploring the contributions of food expenditures. Prev Med. 2016;88:203-9. doi: 10.1016/j. ypmed.2016.04.012: 10.1016/j.ypmed.2016.04.012.

 


Enlaces refback

  • No hay ningún enlace refback.